Untitled16

In [5]:

from pyecharts import options as opts
from pyecharts.charts import Boxplot

In [6]:

from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.charts import Bar


def bar_base() -> Bar:
    c = (
        Bar()
        .add_xaxis(Faker.choose())
        .add_yaxis("商家A", Faker.values())
        .add_yaxis("商家B", Faker.values())
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"))
    )
    return c

In [8]:

a = bar_base()
a.render_notebook()

Out[8]:

In [9]:

实例A = bar_base()
实例A.render_notebook()

Out[9]:

In [11]:

import pandas as pd
import csv, os
data = pd.read_csv('C:/Users/Alyfu/Desktop/oecd_carbon_emissions_data.csv',index_col='Country')             #读取csv文件

In [12]:

data

Out[12]:

	1990	1991	1992	1993	1994	1995	1996	1997	1998	1999	...	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017
Country
United States	6371000.54	6315615.19	6424934.36	6532069.60	6624835.79	6710067.3	6907699.05	6968461.97	7032526.01	7071461.46	...	7160600.81	6709369.15	6938591.68	6787419.03	6545969.33	6710218.18	6759995.63	6623775.48	6492267.43	6456718.19
European Union (28 countries)	5649529.34	5555045.95	5379830.54	5281540.39	5255297.27	5308544.0	5418671.89	5326316.82	5281519.48	5172643.92	...	5046999.43	4681900.46	4783627.79	4626382.21	4563064.71	4468920.46	4297635.77	4327313.20	4303391.87	4323163.15

2 rows × 28 columns

In [48]:

x轴 = data.columns.values
x轴 = data.columns.values[-10:]
x轴

Out[48]:

array(['2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015',
       '2016', '2017'], dtype=object)

In [49]:

美国 = list(data.loc['United States'].values)[-10:]
美国

Out[49]:

[7160600.81,
 6709369.15,
 6938591.68,
 6787419.03,
 6545969.33,
 6710218.18,
 6759995.63,
 6623775.48,
 6492267.43,
 6456718.19]

In [50]:

欧洲 = list(data.loc['European Union (28 countries)'].values)[-10:]
欧洲

Out[50]:

[5046999.43,
 4681900.46,
 4783627.79,
 4626382.21,
 4563064.71,
 4468920.46,
 4297635.77,
 4327313.2,
 4303391.87,
 4323163.15]

In [40]:

from pyecharts import options as opts
from pyecharts.charts import Bar

In [51]:

def bar_base() -> Bar:
    c = (
        Bar()
        .add_xaxis(['2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015',
       '2016', '2017'])
        .add_yaxis("美", 美国)
        .add_yaxis("欧", 欧洲)
        .set_global_opts(title_opts=opts.TitleOpts(title="二氧化碳排放量", subtitle="欧美对比"))
    )
    return c

In [52]:

b = bar_base()
b.render_notebook()

Out[52]:

In [53]:

def bar_base() -> Bar:
    c = (
        Bar()
        .add_xaxis((['2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015',
       '2016', '2017']))
        .add_yaxis("美", 美国)
        .add_yaxis("欧", 欧洲)
        .set_global_opts(title_opts=opts.TitleOpts(title="二氧化碳排放量", subtitle="欧美对比"))
    )
    return c
b = bar_base()
b.render_notebook()

Out[53]:

In [54]:

                                                                                                                                    import pyecharts.options as opts
from pyecharts.faker import  Faker
from pyecharts.charts import Line


def line_base() -> Line:
    c = (
        Line()
        .add_xaxis((['2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015',
       '2016', '2017']))
        .add_yaxis("美", 美国)
        .add_yaxis("欧", 欧洲)
        .set_global_opts(title_opts=opts.TitleOpts(title="二氧化碳排放量"))
    )
    return c

In [55]:

e = line_base()
e.render_notebook()

Out[55]:

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